Detecting Communities in Large Networks by Iterative Local Expansion

Authors:
Jiyang Chen;Osmar R. Zaiane;Randy Goebel
Affiliations:
-;-;-
Venue:
CASON '09 Proceedings of the 2009 International Conference on Computational Aspects of Social Networks
Year:
2009

Citing 0
Cited 6

Hierarchical role classification based on social behavior analysis

Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia
Public health community mining in YouTube

Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Topic mining based on graph local clustering

MICAI'11 Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II
Social network analysis and mining to support the assessment of on-line student participation

ACM SIGKDD Explorations Newsletter
Relative Validity Criteria for Community Mining Algorithms

ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Incremental local community identification in dynamic social networks

Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

Quantified Score

Hi-index	0.00

Visualization

Abstract

Starbucks coffee shops have been spread rapidly and widely all over the world, which implies that there may be diffusive powers among them and thus can be represented as social networks. In particular, the spreading speed of Starbuck Korea was at record ...